Most people are using AI agents for coding now — but their agents are still missing the upgrades that make them genuinely useful in real workflows. This video breaks down the five upgrades I personally use to make my AI agents smarter, more reliable, cheaper to run, and much easier to manage across my team. We’ll start by quickly clearing up the difference between plugins, skills, and MCP servers, then dive into the exact tools that level up your agents: fresh documentation with Context7, better engineering workflows with Superpowers, live web access through DataImpulse, structured task management with Linear, and long-term memory through Obsidian. I’ll show you how each one fits into an actual AI agent workflow, how to install or connect them inside tools like Cursor, Claude Code, Codex, OpenClaw, and Hermes, and why these upgrades matter if you’re trying to move beyond basic prompting into proper agent-powered productivity. We’ll cover: ✅ The difference between plugins, skills, and MCP servers ✅ Why plugins should usually be the first thing you look for ✅ How Context7 gives your agents fresh, version-specific documentation ✅ How Superpowers adds proper software development processes to your agents ✅ How DataImpulse helps agents access live public web data through residential proxies ✅ How to install and use the free DataImpulse MCP ✅ Why Linear becomes a control center for AI agent workflows ✅ How Obsidian can act as a shared second brain across all your agents ✅ How OpenClaw and Hermes can use Obsidian as a native memory layer If your agents still feel limited, forgetful, or inconsistent, these five upgrades will help you turn them into a serious workflow that can research, plan, build, track work, and remember what happened across sessions.

Episode 12 of our new Series 'Code with AI the Right Way' is here! — and this time, we're building a Zendesk / Intercom clone LIVE from scratch! (It even includes AI Agents and B2B Billing!) This is a LIVE build — mistakes, debugging, and all. That's the point. You learn more watching someone solve real problems in real-time than from a polished, pre-recorded tutorial.

Episode 11 of our new Series 'Code with AI the Right Way' is here! — and this time, we're building a Linear Clone LIVE from scratch! Set your reminder & hit the LIKE button here 👉 https://youtube.com/live/6To1ePo1rqc No pre-built code, no shortcuts. You'll watch the entire process unfold in real-time as we break down requirements, set up our AI tooling, and vibe code a full app from zero! Whether you're just starting out or leveling up, this episode shows you how to think through architecture first, then leverage tools like Cursor to move fast without breaking things. This is a LIVE build — mistakes, debugging, and all. That's the point. You learn more watching someone solve real problems in real-time than from a polished, pre-recorded tutorial. I'll see you soon. Peace PAPAFAM! ✌️

What if I told you the voice at the start of this video wasn’t actually me speaking live? In this video, I test Fish Audio’s brand new S2 Pro model and show you how to generate realistic AI voices, add emotion tags, create multi-character conversations, clone your own voice, and then plug everything into a real Next.js app using the Fish Audio API. We’ll go from testing voices inside the Fish Audio dashboard to building a full developer demo with text-to-speech, speech-to-text, voice search, voice cloning, and real-time streaming audio. We’ll cover: ✅ Testing Fish Audio’s new S2 Pro voice model ✅ Adding emotion tags like laughing, aggressive, cheerful, and more ✅ Creating multi-speaker AI conversations ✅ Cloning your own voice from a short audio sample ✅ Keeping cloned voices private ✅ Creating a Fish Audio API key ✅ Building a Next.js demo app with the JavaScript SDK ✅ Text-to-speech, speech-to-text, and voice search ✅ Real-time streaming audio with low latency ✅ How to keep API keys safely on the server side If you’re building AI agents, voice assistants, creator tools, customer support bots, or any app that needs realistic AI voice, this is one of the coolest tools to try right now.

If you’ve ever built a B2B SaaS, you already know the messy part starts when you need organization-specific features like seat limits, team members, subscriptions, invites, roles, checkout flows, emails, and keeping everything in sync. This video is all about how to set up Clerk’s new seat-limited organization plans so you can enforce member limits without building all the custom logic yourself. Clerk now lets you define organization plans with specific seat limits, connect them to checkout flows, manage subscriptions, and control how many members each organization can invite — all without manually syncing Stripe, webhooks, organization data, and your own database logic. I’ll show you how the full flow works inside a real B2B demo app: creating organizations, switching between Growth and Pro plans, inviting members, enforcing seat limits, setting up plans in the Clerk dashboard, and using Clerk’s new components to build both default and custom pricing experiences. We’ll cover: ✅ Why seat limits are painful to build manually in B2B SaaS apps ✅ How Clerk handles organization members, invites, roles, and subscriptions ✅ Creating a demo organization and testing member limits in real time ✅ Using Growth and Pro plans with limited and unlimited seats ✅ How invites count toward available seats before users accept ✅ Setting up organization membership limits inside Clerk ✅ Creating seat-based organization plans in the Clerk dashboard ✅ Using Clerk’s PricingTable, CheckoutButton, PlanDetailsButton, and SubscriptionDetailsButton components ✅ Building a custom pricing page without writing your own checkout or webhook sync logic This is one of those features that removes a huge amount of backend complexity. Fewer custom systems, fewer edge cases, fewer places for your SaaS app to break.